Information Package / Course Catalogue
| Course Code | : MME545 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
The course aims to equip learners with the skills to implement AI solutions and stay abreast of advanced AI trends. The main objective of this course is to familiarize students with the fundamental concepts, theories, and applications of artificial intelligence. Students will gain insight into the various subfields of AI, such as machine learning, natural language processing, computer vision, and robotics.
This AI with Python course provides a comprehensive introduction to the world of Artificial Intelligence, emphasizing practical applications using the Python programming language. Participants will delve into fundamental AI concepts, explore machine learning techniques, delve into deep learning and neural networks, engage in real-world AI project development, and critically examine the ethical considerations surrounding AI technologies.
| Prof. Pınar DEMİRCİOĞLU |
| 1. | Students will have a clear understanding of the fundamental concepts and terminology of Artificial Intelligence |
| 2. | Students will be able to discuss and comprehend AI-related topics |
| 3. | Students will be proficient in writing Python programs |
| 4. | Students will be proficient in understanding syntax, and applying programming constructs |
| 5. | Students will have a solid foundation for further programming endeavours |
| 1. | S. Russell and P. Norvig, “Artificial Intelligence: A Modern Approach, Prentice Hall |
| 2. | M. Tim Jones, “Artificial Intelligence: A Systems Approach (Computer Science)”, Jones and Bartlett Publishers, Inc.; 1st Edition, 2008 |
| 3. | Nils J. Nilsson, “The Quest for Artificial Intelligence”, Cambridge University Press, 2009 |
| 4. | Python GUI programming Cookbook -Burkahard A Meier, Packt Publication, 2nd Edition. |
| 5. | Barry, P. (2016). Head first Python: A brain-friendly guide. “ O’Reilly Media, Inc.”. Lutz, M. (2013). Learning python: Powerful object-oriented programming. “O’Reilly Media, Inc.” |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 3 | 4 | 98 |
| Assignment | 7 | 0 | 5 | 35 |
| Individual Work | 7 | 3 | 3 | 42 |
| Midterm Examination | 1 | 9 | 2 | 11 |
| Final Examination | 1 | 12 | 2 | 14 |
| TOTAL WORKLOAD (hours) | 200 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | |
OÇ-1 | 3 | 5 | 5 | 5 | 5 | 5 | 3 | 5 | ||||
OÇ-2 | 3 | 4 | 4 | 4 | 5 | 5 | 4 | 3 | 4 | 4 | ||
OÇ-3 | 3 | 5 | 5 | 4 | 5 | 4 | 4 | 5 | ||||
OÇ-4 | 3 | 5 | 4 | 4 | 4 | 4 | 4 | 4 | ||||
OÇ-5 | 3 | 5 | 5 | 5 | 3 | 4 | 3 | 4 | ||||